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Sensor Observation Streams Within Cloud-based IoT Platforms: Challenges and Directions

Auger, Antoine and Exposito, Ernesto and Lochin, Emmanuel Sensor Observation Streams Within Cloud-based IoT Platforms: Challenges and Directions. (2017) In: 20th ICIN Conference Innovations in Clouds, Internet and Networks, 7 March 2017 - 9 March 2017 (Paris, France).

(Document in English)

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Official URL: http://dx.doi.org/10.1109/ICIN.2017.7899407


Observation streams can be considered as a special case of data streams produced by sensors. With the growth of the Internet of Things (IoT), more and more connected sensors will produce unbounded observation streams. In order to bridge the gap between sensors and observation consumers, we have witnessed the design and the development of Cloud-based IoT platforms. Such systems raise new research challenges, in particular regarding observation collection, processing and consumption. These new research challenges are related to observation streams and should be addressed from the implementation phase by developers to build platforms able to meet other non-functional requirements later. Unlike existing surveys, this paper is intended for developers that would like to design and implement a Cloud-based IoT platform capable of handling sensor observation streams. It provides a comprehensive way to understand main observation-related challenges, as well as non-functional requirements of IoT platforms such as platform adaptation, scalability and availability. Last but not the least, it gives recommendations and compares some relevant open-source software that can speed up the development process.

Item Type:Conference or Workshop Item (Paper)
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > Université de Pau et des Pays de l'Adour - UPPA (FRANCE)
Laboratory name:
Deposited On:11 Jan 2017 14:10

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